Showing 3 open source projects for "egm2008-1"

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  • 1
    Robolinux

    Robolinux

    Announcing Robolinux Cinnamon 14.1

    Announcing The New Robolinux Series 14 Mate LTS - 2034 Robolinux is very pleased to announce a completely new 14.1 Mate privacy centered 1inux operating system you can download freely while also offering our users an optional 14+ advanced upgrade which comes with our Untracker and FAAST Boot along with one click popular privacy software installers like Tor and I2p, Wireshark and Bleachbit plus many more for a fair and reasonable price. Robolinux14.1-Mate is ideal for beginners and advanced users. We are proud that it comes with Enoch AI which is TOTALLY 100% PRIVATE, FREE, HONEST & UNCENSORED built into Robolinux Cinnamon 14.1 The Robolinux 14.1 version with rock solid Long Term Support through 2034! ...
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    Downloads: 65 This Week
    Last Update:
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  • 2
    EG ClamNet Antivirus

    EG ClamNet Antivirus

    A simple antivirus that provide a graphical interface for ClamAV

    ...EG ClamNet antivirus is simple and user friendly antivirus (currently for Windows OS ) that uses ClamAV as an internal scanning engine to detect trojans, viruses, malware and other known malicious threats. It can be installed on the existing default windows antivirus (Windows Defender) and compatible with it as extra protection. 1) Antivirus & Internet Security: EG ClamNet Antivirus is powered by ClamAV which has fast scanning, detects over 9 millions viruses, malware, worms and trozens. It also protects from MS Office macro viruses, mobile malware, other threats (including known ransomware). 2) Cleaner: EG ClamNet Antivirus has an additional feature of effective cleaning of junk files. ...
    Downloads: 16 This Week
    Last Update:
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  • 3
    Malware Classifier

    Malware Classifier

    Perform quick, easy classification of binaries for malware analysis.

    Adobe Malware Classifier is a command-line tool that lets antivirus analysts, IT administrators, and security researchers quickly and easily determine if a binary file contains malware, so they can develop malware detection signatures faster, reducing the time in which users' systems are vulnerable. Malware Classifier uses machine learning algorithms to classify Win32 binaries – EXEs and DLLs – into three classes: 0 for “clean,” 1 for “malicious,” or “UNKNOWN.” The tool was developed using models resultant from running the J48, J48 Graft, PART, and Ridor machine-learning algorithms on a dataset of approximately 100,000 malicious programs and 16,000 clean programs. The tool extracts seven key features from an unknown binary, feeds them to one of the four classifiers or all of them, and presents its classification of the unknown binary.
    Downloads: 1 This Week
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